CAREER: Sensor-Integrated Bearing with Self-Diagnostic Capabilities

9624353高这个职业奖项将调查与“智能”轴承相关的研究问题，这种轴承嵌入和集成了传感器和微电子技术，用于诊断和预测性维护的数据处理。该教育计划将培养出了解竞争压力并经历过跨学科合作的面向全球的工程师。该研究计划从量化轴承故障特征入手，将传感器的微电子和微型化以及数据处理纳入智能轴承原型，并进行台架规模和合作工业试验，以优化可靠性。该教育项目包括通过马萨诸塞大学阿默斯特分校的K-12外联委员会进行的渗透拓展，机电一体化系统设计的本科课程，以及随机数据分析和测量的研究生课程。这一创新研究计划的影响是，它是预测性维护的关键组成部分，对制造机器和运输系统的生产率、可用性以及最重要的安全影响。该教育计划将使学生能够批判性地思考，并在团队环境中更好地交流，使国家人力资源在全球环境中更具竞争力。

9624353 Gao This CAREER award will investigate the research issues associated with "smart" bearings that embed and integrate transducers and microelectronics for data processing for diagnostics and predictive maintenance. The educational plan will produce globally oriented engineers that understand competitive pressures and have experienced cross-disciplinary teaming. The research plan starts with quantifying bearing failure signatures, considers microelectronics and miniaturization of sensors and data processing into a prototype smart bearing, and bench scale and cooperative industrial experiments for optimization reliability. The educational program has components of percolate outreach through the University of Massachusetts-Amherst's K-12 Outreach Committee, and undergraduate course in mechatronic system design, and a graduate course on random data analysis and measurement. The impact of this innovative research plan is that it is a key component of predictive maintenance, with implications for productivity, availability and most importantly, safety, of manufacturing machines and transportation systems. The educational plan will enable the students to think critically and communicate better in a team environment, making the nations human resources more competitive in a global environment.